Statistics and Research Methods - Part 3: Regression Analysis and Further Methods
Explore regression techniques and advanced methods to model relationships and make predictions from research data.
Duration
4 weeksWeekly study
3 hours
Statistics and Research Methods - Part 3: Regression Analysis and Further Methods
This course has been certified by the CPD Certification Service as conforming to continuing professional development principles. Find out more.
Model relationships and predict outcomes using regression
Understand key relationships between variables and make predictions from your data. Regression techniques allow you to model how variables relate to each other and predict outcomes based on those relationships.
This course introduces linear regression, logistic regression, and other advanced methods for analysing complex data. You’ll learn when to use each approach, how to interpret results, and how to assess model quality.
Building on previous statistical knowledge, you’ll develop skills for sophisticated data analysis.
Understand linear regression
Learn the principles of linear regression for modelling relationships between continuous variables. You’ll explore how to fit models, interpret coefficients, and assess how well models explain your data.
Understanding these foundations helps you predict outcomes and understand variable relationships quantitatively.
Apply logistic regression
Discover how logistic regression works for binary outcomes and categorical predictions. You’ll learn when this approach is appropriate and how to interpret results meaningfully.
These skills extend your analytical toolkit beyond continuous outcomes to categorical variables.
Explore advanced methods
Examine additional techniques for handling complex data, including model selection, diagnostics, and dealing with confounding. You’ll learn to assess assumptions and choose appropriate methods for different research questions.
By the end of this course, you’ll have a comprehensive toolkit for quantitative data analysis in research settings.
Syllabus
Week 1
Non-parametric tests
Non-parametric tests
Learn what non-parametric tests are, their pros and cons, how to choose the right test for a research question, and how to obtain and interpret p-values from these methods.
Week 2
Bootstrapping
Bootstrapping
Learn how to construct confidence intervals using bootstrapping, understand its principles, explore its advantages and limitations, and recognise the steps computers use to generate bootstrap intervals.
Week 3
Beyond t-tests
Beyond t-tests
Learn regression analysis, including linear and logistic models, how to choose the right approach, interpret results, and assess model assumptions and fit to answer research questions.
Week 4
Displaying Results
Displaying Results
Learn how to present results clearly, identify effective and poor displays, critically evaluate published results, and create concise, informative visuals for your own analyses.
Who is this accredited by?
The CPD Certification Service was established in 1996 and is the leading independent CPD accreditation institution operating across industry sectors to complement the CPD policies of professional and academic bodies.
Learning on this course
On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.
What will you achieve?
By the end of the course, you‘ll be able to...
- Describe the relationship between variables and the use of regression for prediction.
- Identify the purpose of adjusting for confounding variables within a regression model.
- Debate parametric and non-parametric statistical methods.
- Explore the basic principles of bootstrapping and resampling techniques.
- Summarise the outputs of a regression analysis for a general audience.
Who is the course for?
This course is ideal for students, researchers, and professionals with basic statistics knowledge who want to develop skills in regression analysis and advanced quantitative methods for research.
Who will you learn with?
Who developed the course?
UCL (University College London)
UCL was founded in 1826. It was the first English university established after Oxford and Cambridge, and the first to open up university education to those previously excluded from it.
What's included?
This is a premium course. These courses are designed for professionals from specific industries looking to learn with a smaller group of like-minded individuals.
- Unlimited access to this course
- Includes any articles, videos, peer reviews and quizzes
- Tests to validate your learning
- Certificate of Achievement to prove your success when you're eligible
- Download and print your Certificate of Achievement anytime
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Learning on FutureLearn
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- Learn through a mix of bite-sized videos, long- and short-form articles, audio, and practical activities
- Stay motivated by using the Progress page to keep track of your step completion and assessment scores
Join a global classroom
- Experience the power of social learning, and get inspired by an international network of learners
- Share ideas with your peers and course educators on every step of the course
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Map your progress
- As you work through the course, use notifications and the Progress page to guide your learning
- Whenever you’re ready, mark each step as complete, you’re in control
- Complete 90% of course steps and all of the assessments to earn your certificate
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